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- Tasks: Design and manage large-scale GPU clusters using cutting-edge technologies.
- Company: Ambitious tech company in the UK with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Take ownership of complex systems and make a real impact in AI orchestration.
- Qualifications: 5+ years in distributed systems, expertise in Go, Kubernetes, and Infrastructure-as-Code.
- Other info: Join a small, dynamic team that values autonomy and creativity.
The predicted salary is between 48000 - 72000 £ per year.
A tech company in the United Kingdom is seeking a Principle Engineer with 5+ years' experience in building distributed systems, particularly in Go. The role involves working with Kubernetes, Infrastructure-as-Code, and observability tools to manage large-scale GPU clusters. This position is ideal for autonomous engineers who thrive in complex environments and seek meaningful ownership over production systems. The employment type is full-time, offering a chance to work in a small, ambitious engineering team.
Principal Systems Engineer — GPU/AI Orchestration employer: Motive Group
Contact Detail:
Motive Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Systems Engineer — GPU/AI Orchestration
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in GPU/AI orchestration. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects in distributed systems and Kubernetes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Go programming and Kubernetes knowledge. Practice common system design questions and be ready to discuss your past experiences with large-scale GPU clusters.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Principal Systems Engineer — GPU/AI Orchestration
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in building distributed systems, especially with Go. We want to see how you've tackled complex challenges and what you've achieved in your previous roles.
Get Technical: Don’t shy away from diving into the nitty-gritty! Talk about your experience with Kubernetes, Infrastructure-as-Code, and observability tools. We love seeing candidates who can demonstrate their technical prowess and how it relates to managing large-scale GPU clusters.
Be Yourself: We’re looking for autonomous engineers who thrive in complex environments, so let your personality shine through! Share your passion for engineering and how you take ownership of production systems. Authenticity goes a long way!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Motive Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in distributed systems, especially with Go. Brush up on Kubernetes and Infrastructure-as-Code concepts, as these will likely come up during the interview. Being able to discuss your past experiences with these technologies will show that you’re not just familiar but also capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those involving GPU clusters or complex systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see your thought process and how you tackle problems.
✨Demonstrate Ownership and Autonomy
This role is all about taking ownership, so be ready to share examples of when you’ve led projects or made significant decisions. Highlight instances where you thrived in a complex environment and how you managed to deliver results independently.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack, and the company’s vision for GPU orchestration. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
